STA6235: Modeling in Regression
Welcome to Modeling in Regression - Fall 2023!
General topics:
Lecture weeks:
Project weeks:
Keep in mind that this is an applied class.
We will be using R in this course.
It is okay if you have not used R before!
Full disclosure: I am a biostatistician first, programmer second.
This means that I focus on the application of statistical methods and not on “understanding” the innerworkings of R.
Sometimes my code is not elegant/efficient, and that’s okay! Because our focus is on the application of methods, we are interested in the code working.
I have learned so much from my students since implementing R in the classroom.
You can install R and RStudio on your computer for free.
Alternative to installing: RStudio Server hosted by UWF HMCSE
Do not use Citrix.
I encourage you to install R on your own machine if you are able.
In the “real world,” you will not have access to the server.
Installing on your own machine will help your future self troubleshoot issues.


Resources! So many resources!


I will be inviting you to join the STA6235-Fa23 organization.
It is okay if you have not used GitHub before!
Full disclosure: this is my first semester using a GitHub Organization, so there may be some bumps in the road.
Why are we using GitHub?
I am trying to prepare you for the real world, where you may need to use GitHub.
It is easy for me to push materials to students directly, rather than going through Canvas.
When you save your progress and push back to your private repository in the organization, I can see your work and can help with troubleshooting.
Get GitHub and RStudio set up.
Pull your private repository for today’s material.
Answer questions in the Quarto file in this week’s GitHub repo.
Push file back to GitHub.